R
RELXSenior MLOps Engineer
London Wallonsitesenior
Posted today · via Workday
About this role
Senior MLOps Engineer Are you passionate about building scalable, reliable machine learning platforms that bring AI models into production? Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale? About the team: Join the team that powers Elsevier’s research platforms—Scopus/Scopus AI, ScienceDirect/ScienceDirect AI, and journal submission & peer review workflows. About the role: You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, java, scala, elasticsearch, opensearch…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in London Wall. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonjavascalaelasticsearchopensearchdatabricksneo4jawsazuresagemakersparkpysparkpytorchtensorflowopenaimlflowteams